Kniha Automatic Algorithm Selection for Complex Simulation Problems Roland Ewald

Automatic Algorithm Selection for Complex Simulation Problems

Autor: Roland Ewald
Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: Skladem u dodavatele v malém množství
Odesíláme za 11-15 dnů
2 567
To select the most suitable simulation algorithm for a given task is often difficult. This is due to...

Informace o knize

Autor
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2011
Stránek
382
EAN
9783834815422
ISBN
383481542X
Enbook ID
01782405
Hmotnost
526
Rozměry
148 x 210 x 23

Kompletní popis

To select the most suitable simulation algorithm for a given task is often difficult. This is due to intricate interactions between model features, implementation details, and runtime environment, which may strongly affect the overall performance. An automated selection of simulation algorithms supports users in setting up simulation experiments without demanding expert knowledge on simulation. §Roland Ewald analyzes and discusses existing approaches to solve the algorithm selection problem in the context of simulation. He introduces a framework for automatic simulation algorithm selection and describes its integration into the open-source modelling and simulation framework James II. Its selection mechanisms are able to cope with three situations: no prior knowledge is available, the impact of problem features on simulator performance is unknown, and a relationship between problem features and algorithm performance can be established empirically. The author concludes with an experimental evaluation of the developed methods.§

Mohlo by vás zajímat

Dreams And Crystal Visions

Sir William F. Barrett
410

Heights And Valleys

Emma Marshall
1 057
476
347
211
371

Notes on Camp

Susan Sontag
91
6 593

Orlando

Virginia Woolf
188

Ride Guide

Dan Goldfischer
400
268
267

Fletch's Moxie

Gregory Mcdonald
471

Zákaznicí kteří koupili tuto knihu koupili také

688
538

Astrologie

Harry Eilenstein
1 022
416
1 194

Droit et Gestion

De Fabregues Muriel
1 100
161
582
493